In situ space debris inspection: From observation to 3D reconstruction

In situ space debris inspection: From observation to 3D reconstruction

Luca Lion, Chantal Cappelletti, Samanta Piano, Francesco Branz, Alessandro Francesconi

download PDF

Abstract. Amidst the exponential increase in space debris, Active Debris Removal and On-Orbit Servicing missions have gained paramount importance. The success of such endeavours pivots on the comprehension of the target’s geometry and dynamic conditions, highlighting the indispensable nature of target inspection. In recent times, a variety of inspection missions have employed satellites of different classes. In this context, small satellites like CubeSats have emerged as a reasonable solution, due to cost-effectiveness and rapid development capabilities. This study explores a potential inspection mission utilizing a CubeSat to evaluate a non-cooperative target, where information on relative pose are not known a priori. The aim is to retrieve essential data for executing Close Proximity Operations safely. Manoeuvring around the target, the CubeSat captures two-dimensional (2D) RGB images from multiple angles to then reconstruct its three-dimensional (3D) geometry. Optical cameras are preferred during the inspection phase due to their cost-efficiency and low power requirements, different from other technologies like laser imaging. An experimental setup is designed and built to generate a dataset of 2D images simulating in orbit conditions. Standard computer vision algorithms are employed to perform the 3D reconstruction and Artificial Intelligence used to reconstruct the scene.

Keywords
On Orbit Servicing, Space Debris, Inspection, Computer Vision

Published online 6/1/2024, 5 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Luca Lion, Chantal Cappelletti, Samanta Piano, Francesco Branz, Alessandro Francesconi, In situ space debris inspection: From observation to 3D reconstruction, Materials Research Proceedings, Vol. 42, pp 93-97, 2024

DOI: https://doi.org/10.21741/9781644903193-21

The article was published as article 21 of the book Aerospace Science and Engineering

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

References
[1] N. Johnson, “Orbital debris: the growing threat to space operations,” in 33rd Annual Guidance and Control Conference, 2010.
[2] L. Olivieri, C. Giacomuzzo, S. Lopresti and A. Francesconi, “Simulation of In-Space Fragmentation Events,” Aerotecnica Missili & Spazio, 2023. https://doi.org/10.1007/s42496-023-00186-1
[3] N. T. Redd, “Bringing satellites back from the dead: Mission extension vehicles give defunct spacecraft a new lease on life-[News],” IEEE Spectrum , 2020. https://doi.org/10.1109/MSPEC.2020.9150540
[4] R. Biesbroek, “The clearspace-1 mission: ESA and clearspace team up to remove debris,” in 8th Eur. Conf. Sp. Debris, 2021.
[5] A. Siena, “Orbit/Attitude Control for Rendezvous and Docking at the Herschel Space Observatory,” Aerotecnica Missili & Spazio, 2023. https://doi.org/10.1007/s42496-023-00188-z
[6] B. Mildenhall, S. P. Pratul, T. Matthew, B. T. Jonathan, R. Ramamoorthi and R. Ng, NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, ECCV, 2020. https://doi.org/10.1007/978-3-030-58452-8_24
[7] M. Mozzato , M. Bemporad, S. Enzo, F. Filippini, R. Lazzaro, M. Minato, D. Visentin, A. Dalla Via, A. Farina, E. Pilone, F. Basana, L. Olivieri, G. Colombatti and A. Francesconi , “Concept and Feasibility Analysis of the Alba Cubesat Mission,” Aerotecnica Missili & Spazio.
[8] J.-M. Frahm and J. Schonberger, “Structurefrom-motion revisited,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. https://doi.org/10.1109/CVPR.2016.445
[9] S. R. Team, “SPACE RIDER USER GUIDE,” 2023.